What we need to see
BS, MS, or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience.
4+ years of relevant software development experience, including contributions to a substantial codebase or project.
Strong proficiency in C++ and experience building performance-critical software.
Understanding of GPU architecture and parallel programming concepts, including memory hierarchies, thread execution, synchronization, and resource utilization.
A rigorous approach to performance analysis and debugging, with the ability to validate numerical correctness and explain performance tradeoffs.
Strong problem-solving and communication skills, and the ability to work independently and collaborate across teams.
Ways to stand out from the crowd
Experience developing or optimizing GPU kernels using CUDA, Triton, CuTe DSL, CUTLASS, or other GPU programming languages.
Experience with MLIR compiler infrastructure, familiarity with intermediate representations, lowering, optimization passes, and GPU code generation.
Familiarity with NVIDIA Tensor Core architecture, mixed-precision computation, quantization, or low-level GPU performance analysis using tools such as NVIDIA Nsight.
Experience developing inference frameworks such as PyTorch, JAX, ONNX Runtime, TensorRT, TensorRT-LLM, vLLM, and SGLang.
A track record of measurable performance improvements in production software or contributions to GPU programming and compiler projects.
At NVIDIA, you’ll work with engineers across GPU architecture, compilers, and AI software to solve demanding performance problems. If you are curious and enjoy understanding how hardware executes code and building software that pushes its capabilities, join us in shaping the future of generative AI inference.
#LI-Hybrid
- Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
- 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
